Dimensions
DimensionsElamvazuthi, I. and Aymen, O.M. and Salih, Y. and Tawfeig, H. (2013) An intelligent control of Blood Pressure system using PID and Neural Network. In: UNSPECIFIED.
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Official URL: https://www.scopus.com/inward/record.uri?eid=2-s2....
Abstract
This paper presents an intelligent control approach for Blood Pressure (BP) system using PID-Neural Network (PIDNN). This paper discusses the use of PIDNN to optimize the regulation of Mean Arterial Pressure (MAP) through the infusion of Sodium Nitroprusside (SNP). Multi-layer Perception (MLP) is used as Neural Network pattern predictor. Simulation studies based on a sensitive model of MAP shows that the proposed approach is able provide a good performance. © 2013 IEEE.
| Item Type: | Conference or Workshop Item (UNSPECIFIED) |
|---|---|
| Additional Information: | cited By 11; Conference of 2013 IEEE 8th Conference on Industrial Electronics and Applications, ICIEA 2013 ; Conference Date: 19 June 2013 Through 21 June 2013; Conference Code:98500 |
| Uncontrolled Keywords: | Mean arterial pressure; Multi layer perceptron; Multi-layer perception; Network pattern; Pressure system; Simulation studies; Sodium nitroprusside, Blood pressure; Computer simulation; Industrial electronics; Intelligent control; Sodium, Neural networks |
| Depositing User: | Mr Ahmad Suhairi UTP |
| Date Deposited: | 09 Nov 2023 15:51 |
| Last Modified: | 09 Nov 2023 15:51 |
| URI: | https://khub.utp.edu.my/scholars/id/eprint/3517 |
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